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Factors Affecting Entrepreneurial Intention Among Graduate Students of

Universiti Teknologi Malaysia

Dr. Amran Md Rasli

Professor

Faculty of management and human resource development

Universiti Teknologi Malaysia

PO box 81310, Skudai, Johor, Malaysia.

Dr. Saif ur Rehman Khan

Associate Professor

Faculty of management and human resource development

Universiti Teknologi Malaysia

PO box 81310, Skudai, Johor, Malaysia.

Shaghayegh Malekifar

Ph.D Scholar

Faculty of management and human resource development

Universiti Teknologi Malaysia

PO box 81310, Skudai, Johor, Malaysia.

Samrena Jabeen

Ph.D Scholar

Faculty of management and human resource development

Universiti Teknologi Malaysia

PO box 81310, Skudai, Johor, Malaysia.

Abstract

This paper empirically assesses the relationship of entrepreneurial intention and its antecedents among graduating students of UTM. This study is based on the models developed by Davidsson [7] and Autio et al. [1]. Research framework has utilized the modified version of the original study. Work experience, vicarious experience, general attitude, image of entrepreneurship and other demographic variables are tested against entrepreneurial conviction and entrepreneurial intentions. This study supports the proposition that conviction is the strongest variable that has direct influence towards entrepreneurial intention, whereas general attitude has a significant influence as well as those male students with work experience were found to have higher entrepreneurial intention. Based on the outcomes of the study, the paper is concluded by giving the recommendationsand a finalized model of entrepreneurial intention.

Keywords:

Entrepreneurial conviction, entrepreneurial intention, entrepreneurship, demographic variables.

1.

Introduction

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Therefore, some scholars define entrepreneurship as the agent for the creation of new business and enterprise [14]. This definition emphasizes a growing awareness that entrepreneurship is a process of „becoming‟ rather than a state of „being‟. However, most of the studies typically identify pre-existing entrepreneur and established ventures while neglecting a large pool of potential entrepreneurs, i.e., students. It seems questionable to generalize the findings with regards to graduates and on-going students. [19] Furthermore the variation of both students and graduates population affect a variety of important entrepreneurial characteristics which in turn would lead to inconsistent results. The empirical research has seldom explored students as entrepreneurial subjects. The few findings that exist are partly inconsistent [19]. Consequently, there is a lack of understanding how public policies and universities can effectively develop future high-tech business founders [14].

This study was conducted to answer following six questions and to provide new insights concerning this vacant gap in the “entrepreneurship study in the era of globalization, and knowledge based-economy”, where the Malaysian government has placed greater emphasis on promoting high-growth, high-tech start-ups by highly educated professionals. Consequently, there is a need for many entrepreneurs to be involved actively in the economic development in order to meet the market demands and to sustain competency in the fast pace of technology change. The assessment of entrepreneurial intention among the university students is a necessity in order to identify their level of entrepreneurial orientation. This group of people is very crucial as the springboard or backup to the current entrepreneurs in Malaysia‟s high-tech industries. A majority of these students will immediately contribute more to the economic growth after they graduate, not as salary workers but as entrepreneurs. Could it be that Malaysian university students lack entrepreneurial orientation and intention? What factors would enhance students‟ interest towards active entrepreneurial participation? What demographic factors influence entrepreneurial orientation?

2.

Literature Review

Entrepreneurial intention is the state of one‟s mind to foster the new business or venture creation. Entrepreneurial conviction is a measure of the perceived ease of starting up a new firm as well as to the perceived feasibility of such a choice [1]. However, a person will only initiate entrepreneurial actions when one‟s entrepreneurial conviction is high in relation to the perceived requirements of a specific opportunity. Past studies have proven that conviction stands out as the primary explanation and determinant of entrepreneurial intentions [2; 3; 7].

During recent years, the process-based approach of studying entrepreneurial intentions has become increasingly used [13; 1; 7; 18]. Moreover intentionality is grounded on cognitive psychology that attempts to explain or predict human behavior [12]. Similarly, attitudes towards entrepreneurship (perceived feasibility and perceived desirability) should be partially derived from prior exposure to entrepreneurial activity. It affects intention and thus behavior through changing attitudes [22]. Model of new-venture initiation proposes that the decision to initiate new venture requires two things. Firstly, the individuals should have intentions towards entrepreneurship and the perception that starting a new venture is credible. Secondly, the new venture initiation requires some kind of precipitating event. Credibility requires at least a threshold level of perceptions of feasibility and desirability with some propensity to act upon the opportunity [22].

Economic-psychological model of factors which influence individuals‟ intentions to go into business has been quoted more often as compared to previous models [7]. It is proposed that personal background variables affect both general attitudes (i.e., general psychological dispositions) and domain attitudes (or specific attitudes towards entrepreneurship) while the central role of conviction was, as the primary determinant of intention. At the same time the personal background variables affect both general and domain attitudes [7].

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Entrepreneurial intention study among the university students at the MIT School of Engineering. The structural model of entrepreneurial intent consists of three main components: personal traits, attitude, and intention towards entrepreneurial behaviors. The model proposes that the intention to become a business founder is moderated by the attitude about entrepreneurship. Their model proposes a direct impact of the perceptions of contextual factors on entrepreneurial intentions. Hence, the environment is assumed to be responsible for the lack of a perfect attitude-intention correlation. A student might be willing to set up a company (regardless of his comparatively bad attitude towards entrepreneurship) because he perceives the founding conditions are very favorable (trigger-effect). Inversely, graduates with a positive attitude towards new venture creation may not decide to start their own business due to a negative perception of salient factors in the environment. This line of reasoning is known in attitude models as the contextual influence on the attitude-behavior-relationship [15].

The research model for this study is based on a sample of graduating students from Universiti Teknologi Malaysia (UTM) and is adopted from studies by [7] and [1] as well as Othman and Wan Jusoh (2004). While [16] had adopted Davidsson‟s (1995) model in their research, this study had retained most of the critical components presented in models developed by [7] and [1] in order to determine the direct influence of personal background on entrepreneurial intention, which to the opinion of the authors, is a central theme of this study.

3.

Methodology

This study can be categorized as an exploratory field study. This investigation adopted the survey develpoed by [7] and [1] as well as Othman and Wan Jusoh (2004). The data was obtained from graduating students at the Faculties of Engineering, Education, Management and of Social Science in UTM. A total of 400 undergraduate students were targeted to participate in this study. The author used quota sampling technique (25% each faculty) to ensure fair representation of the population due to the dominance of members of certain faculties. A 79.5% response rate (318 out of 400 possible respondents) was obtained. The gender composition of the sample was 37.11% male (N = 118) and 62.89% female (N = 200), race composition was 48.74% Malay (N = 155) and 51.26% Non-Malay (N = 163), the field of study composition was 49.37% engineering (N = 157) and 50.63% non-engineering (N = 181), experience composition was 52.83% none (N = 168) and 47.17% some (N = 150), and parent‟s occupation was 59.74% employees (N = 190) and 40.26% self-employed (N = 128).

A set of questionnaire anchored on five-point scales is designed as to measure the attributes of social content, image of entrepreneurship, general attitudes, conviction and intention [19,1]. The interplay between the aforementioned constructs was incorporated with following null-hypotheses accordingly:

H1: There is significantly difference in Entrepreneurial Intention by Race

H2: There is significantly difference in Entrepreneurial Intention by Field of Study H3: There is significantly difference in Entrepreneurial Intention by Work Experience H4: There is significantly difference in Entrepreneurial Intention by Gender

H5: There is significantly difference in Entrepreneurial Intention by Parent‟s Occupation 3.1 Statistical Analysis

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Table 1: Comparison of Cronbach’s α values between current and previous studies

Table 2: Results of Independent Sample T-test

Difference in Entrepreneurial Intention by Race

Malay Non-Malay p-value Decision Conclusion

N 155 163

0.391 Fail to reject Ho

There is insufficient evident to show that there is difference in Entrepreneurial Intention by Race

Mean 59.7312 61.6564 Std. Deviation 20.4966 19.5004 Std. Error Mean 1.6463 1.5274

Difference in Entrepreneurial Intention by Field of Study

Enginee-ring

Non-engineering p-value Decision Conclusion

N 157 161

0.965 Fail to reject Ho

There is insufficient evident to show that there is difference in Entrepreneurial Intention by Field of Study

Mean 60.6688 60.7660 Std. Deviation 18.8910 21.0538 Std. Error Mean 1.5077 1.6593

Difference in Entrepreneurial Intention by Work Experience

None Some p-value Decision Conclusion

N 168 150

0.013 Reject Ho

Students with some work experience have higher Entrepreneurial Intention than students with no work experience

Mean 59.1270 62.5000 Std. Deviation 19.7968 20.1076 Std. Error Mean 1.5274 1.6418

Difference in Entrepreneurial Intention by Gender

Male Female p-value Decision Conclusion

N 118 200

0.021 Reject Ho Male students have higher Entrepreneurial Intention than female students

Mean 62.3588 59.7500 Std. Deviation 18.3202 20.8875 Std. Error Mean 1.6865 1.4770

Difference in Entrepreneurial Intention by Parent‟s Occupation Employee

Self-employed

p-value Decision Conclusion

N 190 128

0.938 Fail to reject Ho

There is insufficient evident to show that there is difference in Entrepreneurial Intention by Parent‟s Occupation

Mean 60.7895 60.6120 Std. Deviation 19.9895 20.0534 Std. Error Mean 1.4502 1.7725

Finalized Construct

Total

Variables Factored Components

Cronbach‟s α value

Current Study Othman and Wan Jusoh (2004)

Autio et al. (1997); and Davidsson (1995) Entrepreneurial

Intention 3 Intent 1-3 0.722 0.7085 -

Need of Achievement 4 Achieve 1-4 0.763 0.8372 0.60

Autonomy 4 Auto 1-4 0.713 0.9207 0.60

Change 4 Change 1-2 Change 3-4 0.753 0.5625 0.58

Competitiveness 5 Compete 1-3 Compete 4-5 0.702 0.6937 0.76

Value for Money 5 Money 1-2,5 Money 3-4 0.723 0.6886 0.70

Image of

Entrepreneurship 6 Image 1-6 0.711 0.6178 0.70

Entrepreneurial

Conviction 5 Convict 3-5 Convict 1-2 0.770 0.7568 0.77

University

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Table 3: Results of Regression Analysis

Factors

(independent-dependent)

Current Study Study by Othman and Wan Jusoh (2004)

r r2

p

value r r2

p

value

Conviction– Intention 0.675 0.456 0.000 0.590 0.348 0.000

Intention– Education Environment 0.341 0.116 0.000 0.181 0.033 0.001 Education Environment– Conviction 0.210 0.044 0.000 0.161 0.026 0.004

Conviction– Image 0.407 0.166 0.000 0.404 0.164 0.000

General Attitude – Conviction 0.419 0.176 0.000 0.535 0.286 -

4.

Discussions

The analysis confirms many previous findings presented in the literature review. The findings provide support for the usability of the process approach to analyzing entrepreneurial behavior. It has been demonstrated that the intention model in this study is a rigorous framework when it comes to explaining or predicting variations in entrepreneurial intentions. The results show that there are significant and positive relationship between all the independent variables, including image of entrepreneurship, education environment, conviction, and the dependent entrepreneurial intention. The results firmly support the relationship suggested by the models developed by [1;7;2;13 and 8].

Based on the second column of Appendix-2, entrepreneurial conviction has the strongest direct relationship with entrepreneurial intention based on the highest r value of 0.675. This finding is similar to the previous study done by [7] and [1]. The studies by [8] and [22] also revealed that self-efficacy (in this context it is synonymous with Davidsson‟s conviction) explain to a large extent, the variations in entrepreneurial intentions. Hence, a strong self-perception of entrepreneurial capability (high conviction) with a high level of goal setting and goal commitment appear to influence the intention to embrace entrepreneurial behavior.

The entrepreneurial intention has a positive and significant relationship with university environment and thus confirming the finding that the role of entrepreneurship education has been recognized as one of the critical factors that help the students to understand and foster an entrepreneurial attitude. This finding is confirmed by study by [16] and [23]. Thus it is insufficient for university to just introduce courses on theory emphasizing entrepreneurship, but it needs to develop suitable educational programs to prepare students for future entrepreneurship.

The model constructed in the study has also policy implications. There are numerous policy initiatives, such as business incubator programs, that support the emergence of new, technology-based firms from universities. According to [1], such programs try to influence behavior only, not intent and other cognitive factors that influence behavior. The findings of the study provide pointers for expanding the scope of policy initiatives.

This study indicates that only two demographic variables, i.e., gender and work experience, are found to have influence on the entrepreneurial intention. This finding is consistent with a study by [5] who found that males rated financial success and innovation significantly higher than did females. In addition, a study by [24] was able to present the implications of self-confidence in skills and entrepreneurial intention for undergraduates relate to the types of work they experience, including for technically educated students the closeness of the work to the content of their science and engineering courses of study. There is no other support found to show the influence of other demographic variables, such as race, field of study, and role model (parental occupation) on entrepreneurial intentions.

5.1 Implication

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Therefore, according to [16] and [23], public policies and universities planners should intensify their activities to implement educational, research and resource programs on entrepreneurship for technical students. These programs have been successfully implemented among engineering students in Massachusetts Institute of Technology (MIT) based on a study by [15] whereby many students become entrepreneurs immediately after graduation.

Due to the influence of education on the attitudes and aspirations of youths, it is important for the government and university policy makers to understand how to develop and nurture potential entrepreneurs even while they are still students. While this study focuses only on students of UTM, the findings are intended to advance the general level of knowledge concerning the creation of new business by highly educated and innovative youths in the fast changing economy in this era of globalization.

5.2 Limitations and Future Indications

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References

Autio, E., Keeley, R. H., Klofsten, M. and Ulfdtedt, T. (1997). Entrepreneurial intent among students: Testing an intent model in Asia, Scandinavia, and USA. Frontier of Entrepreneurship Research, 133-147.

Bird, B. J. (1988). Implementing entrepreneurial ideas: The case for intention. Academy of Management Review 13(3), 442-453.

Boyd, N. and Vozikis, G. (1994). The influence of self-efficacy on the development of entrepreneurial intentions and actions. Entrepreneurship Theory and Practice 18(4), 63-78.

Brice, J. (2002). The role of personality dimensions and occupational preferences on the formation of entrepreneurial intentions. Unpublished PhD Dissertation, Mississippi State University.

Carter, N. M, William B. G., Kelly G. S. and Elizabeth J. G. (2003). The career reasons of nascent entrepreneurs. Journal of Business Venturing 18(1), 13-39.

Cooper, D. R. and Schindler, P. S. (1988). Business research methods. (6th ed.). Irwin.

Davidsson, P. (1995). Determinant of entrepreneurial intentions. RENT IX Workshop in Entrepreneurship Research, Piacenza, Italy.

Erikson, T. (1998). A study of entrepreneurial intentions among a cohort of MBAs. Proceedings of ICSB Conference, Singapore.

Fraenkel, J., Wallen, N. and Sawin, E. (1999). Visual statistics. Boston: Allyn and Bacon.

Hair, J. F., Anderson, R.C., Tatham, R. L. and Black, W. C. (1998). Multivariate data analysis. (5th ed). New Jersey: Prentice Hall.

Hebert, R. F., and Link, A. N. (1988). The entrepreneur-mainstream views and radical critiques. (2nd ed.). New York: Praeger.

Jukka – Pihkala, Timo (1997) Entrepreneurial Identity, Intentions and Effects of the Push-Factor. Proceedings of the Academy of Entrepreneurship, Volume 3,

Number 2. Maui, Hawaii, October 14-17, 1997.

Krueger, N. (1993). The impact of prior entrepreneurial exposure on perceptions of new venture feasibility and desirability. Entrepreneurship Theory and Practice 18 (1), 5-21.

Low, M. B. and MacMillan I. C. (1988). Entrepreneurship: Past research and future challenges. Journal of Management 14(2), 139-161.

Luethje C., and Franke N. (2002). Fostering entrepreneurship through university education and training: Lessons from Massachusetts Institute of Technology. Proceedings of 2nd Annual Conference on: Innovative Research in Management. Stockholm, Sweden.

Othman K. and Wan Jusoh W. J. (2004). Determinants of entrepreneurial intention among Universiti Tenaga Nasional Students. Proceedings of the Universiti Tenaga Nasional International Businesses Management Conference 2004. Kuantan, Malaysia.

Pillis, E. G. (1998). Predicting entrepreneurial intention: A cross-cultural study. Unpublished PhD Dissertation. University of Southern California.

Reitan, B. (1997). Entrepreneurs intention: A combined models approach. Proceedings of the 9th Nordic Small Business Research Conference, Lillehammer, Norway.

Reynolds, P. D. (1995). Who starts new firms? Linear additive versus interaction based models. Proceedings of the Babson-Kauffman Entrepreneurship Research Conference, London Business School, United Kingdom.

Robinson, P. B., Stimpson, D. V., Huefner, J. and Hunt, H. K. (1991). An attitude approach to the prediction of entrepreneurship. Entrepreneurship Theory and Practice 15(4), 13–31.

Schumpeter, Joseph A., 1949. Theory of Economic Development, Harvard University Press: Cambridge, Massachusetts.

Shapero, A. (1975). The Displaced, uncomfortable entrepreneur. Psychology Today 9(133), 83-88.

Wan Jusoh, W. J. (1999). Determining key success factors in new product development using factor and correlation analysis: Evidence from manufacturing companies in Malaysia. Proceedings of SPSS Users‟ Annual Conference, Kuala Lumpur, Malaysia.

Figure

Table 1:  Comparison of Cronbach’s α values between current and previous studies

References

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